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At least 847 records · Page 47Linked to original sources
PubMed1993

Let us extend our knowledge base. Assessment and management of fungating malignant wounds.

Little research has been undertaken on the management of fungating malignant wounds, and current practice relies more upon an exploratory approach than research-based evidence. This article presents a detailed problem-solving framework for the assessment and management of these wounds, and can be used in conjunction with the wallchart outlining the plan enclosed free with this issue.

Bandages↗
PubMed1995

The main elements of the information system of the National Stroke Program (Smart Card - Telecommunication - Knowledge Bases).

The mortality of stroke in Hungary is 208 out of 100,000 inhabitants, which is very high in an international comparison. The age-group most in danger is between 35 and 50. There are 40-50 thousand hospital admissions each year because of stroke, the majority of them are unexpected crisis cases. In 1992, the government announced the National Stroke Program, which includes prevention, emergency, acute treatment and rehabilitation. Simultaneously with the medical-professional program, the National Stroke Program Information System (NSPI) has also been launched. Its aim is the direct backing up of the medical activity, the aiding of epidemiological tasks and preventive follow-up of patients. The system consists of an interactive database network in that it can guarantee accessibility, thus making every endeavour to assist in solving medical-professional problems with the help of modern information technology (smart care, telecommunication-device, etc.).

Adult↗
PubMed1996

A knowledge-based model construction approach to medical decision making.

We present a framework for representing the probabilistic effects of actions and contingent treatment plans. Our language has a well-defined declarative semantics and we have developed an implemented algorithm (named BNG) that generates Bayesian networks (BN) to compute the posterior probabilities of queries. In this paper we address the problem of projecting a contingent treatment plan by automatically constructing a structure of interrelated BNs, which we call a BN-graph, and applying the available propagation procedures on it. To address the optimal plan generation, we base our approach on the observation that normally the target plan space has a well-defined structure. We provide a language to describe plan spaces which resembles a programming language with loops and conditionals. We briefly present the procedures for finding the optimal plan(s) from such specified plan spaces.

Acute Disease↗
PubMed1997

Improving access to knowledge-based health sciences information: early results from a statewide collaborative effort.

Access to biomedical literature has been shown to reduce the patient's length of stay and thus reduce the cost of the hospital visit. Unfortunately, access to the most current information, at the time and place of need, requires a substantial commitment of resources in the form of staff expertise, computer hardware and software, and user training. The cost of these resources may be prohibitively high for all but the largest institutions. The Arizona Health Information Network (AZHIN) brings together librarians, information systems specialists, and health care professionals from hospitals throughout the state in an effort to share resources and expertise. By reducing the cost of access, AZHIN has increased the availability of health-related information across the state. Progress in AZHIN's first two years is described.

Arizona↗
PubMed1997

Design of a knowledge-based force field for off-lattice simulations of protein structure.

Prediction of protein structure from amino-acid sequence still continues to be an unsolved problem of theoretical molecular biology. One approach to solve it is to construct an appropriate (free) energy function that recognizes the native structures of some selected proteins (whose native structures are known) as the ones distinctively lowest in (free) energy and then to carry out a search of the lowest-energy structure of a new protein. In order to reduce the complexity of the problem and the cost of energy evaluation, the so-called united-residue representation of the polypeptide chain is often applied, in which each amino-acid residue is represented by only a few interaction sites. Once the global energy minimum of the simplified chain has been found, the all-atom structure can easily and reliably be constructed. The search of the lowest-energy structure is usually carried out by means of Monte Carlo methods, though use of more efficient global-optimization methods, especially those of deformation of original energy surface is potentially promising. Monte Carlo search of the conformational space can be accelerated greatly, if the chain is superposed on a discrete lattice (the on-lattice approach). On the other hand, the on-lattice approach prohibits the use of many efficient global-optimization methods, because they require both energy and its space derivatives. The on-lattice methods in which the chain is embedded in the continuous 3D space are, therefore, also worth developing. In this paper we summarize the work on the design and implementation of an off-lattice united-residue force field that is underway in our group, in cooperation with Professor HA. Scheraga of Cornell University, U.S.A.

Models, Molecular↗
PubMed2001

Presentation of problem-specific, text-based medical knowledge: XML and related technologies.

Systematic reviews of the impact of clinical decision support systems on provider behavior and patient outcome have shown evidence of benefit. Knowledge-based functions for decision support or monitoring that are integrated in clinical information systems are a potentially effective way. But these concepts are restricted by the efforts required for development and maintenance of the information systems and the limited number of implemented medical rules. Physicians are familiar to get their information from text-based sources. It seems to be straight-forward to rely on a document-based solution in order to present problem-specific information at the point of care. We have developed a concept for context-sensitive retrieving and presentation of text-based medical knowledge (textbook of internal medicine) using the eXtensible Markup Language (XML) and related technologies. This concept can facilitate the electronic query and presentation of this resource. XML may replace narrative text as a storage format and allows to structure the data in a stepwise fashion. On the basis of structured data we are able to improve the search quality for clinical information and its presentation which forms a crucial pre-requisite for the use of the information and the implementation of evidence-based care in the clinical routine.

Decision Support Systems, Clinical↗
PubMedDate not supplied

Kave: a tool for knowledge acquisition to support artificial ventilation.

A decision support system for artificial ventilation is being developed. One of the fundamental goals for this system is the application of the system when a domain expert is not present. Such a system requires a rich knowledge base. The knowledge acquisition process is often considered to be the bottleneck in acquiring such a complete knowledge base. Since no single available method, for example interviewing domain experts, is sufficient for removing this bottleneck, we have chosen a combination of different methods. The different backgrounds of knowledge engineers and domain experts could cause communication restrictions and difficulties between them, e.g. they might not understand each others knowledge domain and this will affect formulation of the knowledge. To solve this problem we needed a tool which supports both the knowledge engineer and the domain expert already from the initial phase of developing the knowledge base. We have developed a knowledge acquisition system called KAVE to elicit knowledge from domain experts and storing it in the knowledge base. KAVE is based on a domain specific conceptual model which is a result of cooperation between knowledge engineers and domain experts during identification, design and structuring of knowledge for this domain. KAVE includes a patient simulator to help validate knowledge in the knowledge base and a knowledge editor to facilitate refinement and maintenance of the knowledge base.

Artificial Intelligence↗
PubMed2004

Neurocognitive mechanisms underlying the experience of flow.

Recent theoretical and empirical work in cognitive science and neuroscience is brought into contact with the concept of the flow experience. After a brief exposition of brain function, the explicit-implicit distinction is applied to the effortless information processing that is so characteristic of the flow state. The explicit system is associated with the higher cognitive functions of the frontal lobe and medial temporal lobe structures and has evolved to increase cognitive flexibility. In contrast, the implicit system is associated with the skill-based knowledge supported primarily by the basal ganglia and has the advantage of being more efficient. From the analysis of this flexibility/efficiency trade-off emerges a thesis that identifies the flow state as a period during which a highly practiced skill that is represented in the implicit system's knowledge base is implemented without interference from the explicit system. It is proposed that a necessary prerequisite to the experience of flow is a state of transient hypofrontality that enables the temporary suppression of the analytical and meta-conscious capacities of the explicit system. Examining sensory-motor integration skills that seem to typify flow such as athletic performance, writing, and free-jazz improvisation, the new framework clarifies how this concept relates to creativity and opens new avenues of research.

Attention↗
PubMed2004

BioPD: a web-based information center for bioactive peptides.

Bioactive peptide database (BioPD) is a web-based knowledge base that contains more than 1100 protein sequences from human, mouse and rat, which are putative or are known to be bioactive peptides. In addition to peptide sequences and the annotation, the database also contains gene sequences with annotation, protein interaction and disease data related to the peptides. Each entry has as many references as possible to support the information represented. BioPD consists of six parts: PROTEIN, GENE, DISEASE, LINKS, INTERACTION, and REFERENCE. The database is searchable through keyword, gene and protein name, receptor name, etc. The links to PDB, InterPro, Pfam, OMIM, etc. are provided in each entry. Thus BioPD is formed as an information center for the bioactive peptide and serves as a gateway for exploration of bioactive peptides. The database can be accessed at http://biopd.bjmu.edu.cn.

Animals↗
PubMed1984

An expert diagnostic program for dermatology.

The first knowledge-based medical consultation program for dermatology is reported. This program uses SEEK, a new facility within the Rutgers University EXPERT system. Our current model gives a differential diagnosis for 13 different tumors with an overall accuracy of 84%. The model uses a formal criteria-based knowledge representation scheme. In addition, the first visually indexed database in dermatology has been developed.

Basal Cell Carcinoma↗